{"id":"W4413029622","doi":"10.1177/14744740251358282","title":"‘Someone who uses it better’: Speculative fiction as method for AI work refusal in cultural geography","year":2025,"lang":"en","type":"article","venue":"Cultural Geographies","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Work (physics); History; Cultural geography; Sociology; Epistemology; Aesthetics; Social science; Human geography; Art; Engineering; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004261996,0.00021634,0.0002981464,0.0004806576,0.000671821,0.0004793842,0.0002294093,0.0001764583,0.00005071871],"category_scores_gemma":[0.0001189121,0.0001795994,0.0003216605,0.002312713,0.0004582665,0.002051097,0.00002650476,0.0002058532,0.00001310099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005402341,"about_ca_system_score_gemma":0.00003628108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226166,"about_ca_topic_score_gemma":0.002211582,"domain_scores_codex":[0.998504,0.0001349357,0.0003969817,0.000325065,0.0001936682,0.0004453882],"domain_scores_gemma":[0.999305,0.0001826942,0.000101401,0.0001139707,0.0002200511,0.00007690552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005649882,0.0003265828,0.2296125,0.000190832,0.0006089727,0.000004378064,0.06033873,0.0003315559,0.00008717789,0.3909523,0.06215099,0.254831],"study_design_scores_gemma":[0.001196592,0.0001204654,0.1605086,0.0004326336,0.00009282862,9.870303e-7,0.04020549,0.00004128662,0.000394607,0.04391192,0.7524682,0.0006263988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7856707,0.0010353,0.001992662,0.02813998,0.001092405,0.001706869,0.00005290608,0.0003067086,0.1800025],"genre_scores_gemma":[0.9913474,0.0009456467,0.002610333,0.002002999,0.0002095349,0.0002373916,0.0001411727,0.000009664753,0.002495893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6903172,"threshold_uncertainty_score":0.7323851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987297680614272,"score_gpt":0.3405858745239563,"score_spread":0.3207128977178136,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}